- Mathematical biology
- Mathematical neuroscience
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- Eric Shea-Brown (PI)
- Andrea Barreiro
- Josh Goldwyn
- Nick Cain
- Guillaume Lajoie
- Alex Cayco-Gajic
- Marci Kalif
- Evan Thilo
The Neural Dynamics research group’s interests span a wide set of topics in mathematical neuroscience and biological dynamics. Recent work focuses on optimal signal processing and decision making in simple neural networks, dynamics of neural populations in interval timing tasks, correlations and reliability in simple neural circuits, and properties of oscillator networks with generalized symmetries.
- G. Lajoie and E. Shea-Brown. Shared inputs and desynchrony in elliptic bursters: from slow passage to discontinuous circle maps. ArXiv math.DS/1010.2809, 2010.
- J. Goldwyn, N. Imennov, M. Famulare, and E. Shea-Brown. On stochastic differential equation models for ion channel noise in Hodgkin-Huxley neurons. ArXiv q-Bio/1009.4172, 2010.
- A. Barreiro, E. Shea-Brown, and E. Thilo. Timescales of spike-train correlation for neural oscillators with common drive. Phys. Rev. E, 81, 011916, 2010.
- K. Josic, E. Shea-Brown, B. Doiron, and J. de la Rocha. Stimulus-dependent correlations and population codes. Neural Computation, 21(10): 2774-2804, 2009.
- E. Shea-Brown, K. Josic, J. de la Rocha, and B. Doiron. Correlation and synchrony transfer in integrate-and-fire neurons: basic properties and consequences for coding. Physical Review Letters 100, 108102, 2008.